STATISTICS IN PSYCHOLOHY AND EDUCATION

Author: S. K. MANGAL

Publisher: PHI Learning Pvt. Ltd.

ISBN: 8120320883

Category: Psychology

Page: 428

View: 2102

This extensively revised and fully updated second edition is designed as a textbook for M.A. (Education), M.Ed., M.A. (Psychology and Sociology) and for research students pursuing courses in Statistics related to these subjects. It takes into account the present syllabi of various universities and institutes of education across the country. What's New to the Second Edition : Six new chapters added with empha-sis on advanced statistical concepts and techniques such as the following : - Biserial correlation, point biserial correlation, tetrachoric correlation, phi coefficient, partial and multiple correlation. - Transfer of raw scores into standard scores, T, C and Stanine scores. - Non-parametric tests like the McNemar test, Sign test, Wilcoxon test, Median test, U test, Runs test, and KS test. - Analysis of covariance. Some chapters modified and reshuffled to reflect the new emphasis. Entire text thoroughly checked and marked improvements made to bring the topics uptodate.
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Statistical Reasoning in Psychology and Education, Workbook

Author: Edward W. Minium

Publisher: Wiley

ISBN: 9780471036333

Category: Psychology

Page: 292

View: 6979

Provides students of psychology, education, and behavioral science with an introduction to statistics which emphasizes the relationship between statistical theory and the reality of research. Fosters an understanding of fundamental properties and uses of elementary techniques, appealing to intuitive understanding and common experience. Develops the merit of a statistical approach on logical, rather than mathematically sophisticated, grounds.
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Statistical Reasoning In Psychology And Education

Author: Gordon Bear,Bruce M. King & Edward W. Minium

Publisher: John Wiley & Sons

ISBN: 9788126518265

Category:

Page: 612

View: 4758

Market_Desc: · Students· Instructors About The Book: The book develops statistical concepts, understanding of statistical logic, properties regarding statistical devices, assumptions underlying statistical tools and considers what happens when statistical theory meets real-world problems. It emphasizes the statistics of measurement and the interplay of statistics with experimental design, giving full treatment to both inferential and descriptive statistics. New to this edition are realistic examples and numerous original problems with data sets. Special boxed sections introduce students to controversial, topical and current issues such as the bootstrap, meta-analysis.
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